Sr. Software Reliability Engineer for AI

Responsibilities:

• Own the reliability, performance, and operational health of production AI systems, focusing on improving complex, existing services.
• Lead efforts to refactor and harden the AI codebase to improve observability, maintainability, and resilience.
• Diagnose and resolve issues across distributed systems.

Requirements:

• Proven experience designing, building, and operating distributed systems in production.
• Strong understanding of service architecture, concurrency, resource management, and distributed failure modes.
• Hands-on experience running production services on Kubernetes.

Bonus Points:

• Experience collaborating with ML or data science teams to productionize predictive systems.
• Ability to improve system architecture and engineering practices over time through design, code review, and mentorship.